Model comparison
Gemma 3 27B vs INTELLECT-1
Gemma 3 27B has enough public results to be ranked (#284); INTELLECT-1 does not yet, so treat this comparison as directional.
Last verified . 1 shared benchmarks.
Google
Hugging FaceSummary
- They share 1 benchmark with published results for both.
- Gemma 3 27B has downloadable open weights; the other is API-only.
Side by side
| Gemma 3 27B | INTELLECT-1 | |
|---|---|---|
| Provider | Hugging Face | |
| Noometry Index | 30.8 | — |
| Released | 2025-03-11 | 2024-11-29 |
| Weights | Open | Proprietary |
| Context window | 131K | — |
| Max output | 8K | — |
| Input $ / M tokens | $0.08 | — |
| Output $ / M tokens | $0.16 | — |
| Results tracked | 43 | 7 |
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Category by category
Coding Not comparable
Gemma 3 27B: 22.5 (#334), INTELLECT-1: —
| Benchmark | Gemma 3 27B | INTELLECT-1 |
|---|---|---|
| Aider Polyglot | 4.9% | — |
| SciCode | 21.2% | — |
| LiveBench Coding | 39.9% | — |
| LMArena Coding | 1322 | — |
Agentic & Tool Use Not comparable
Gemma 3 27B: 25.1 (#110), INTELLECT-1: —
| Benchmark | Gemma 3 27B | INTELLECT-1 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 29.5% | — |
Reasoning Not comparable
Gemma 3 27B: 16.7 (#301), INTELLECT-1: —
| Benchmark | Gemma 3 27B | INTELLECT-1 |
|---|---|---|
| Epoch Capabilities Index | 130.04 | 100.86 |
| Kagi LLM Benchmark | 40.4% | — |
| CritPt | 0% | — |
| Chess Puzzles | 0% | — |
| LiveBench Reasoning | 43.8% | — |
| LMArena Hard Prompts | 1340 | — |
| DTBench | 52.5% | — |
| LiveBench Data Analysis | 51.5% | — |
| LMCA | 12.3% | — |
| BIG-Bench Hard | — | 34.9% |
| HellaSwag | — | 71.4% |
| LiveBench | 50% | — |
| WinoGrande | — | 65.8% |
Math Not comparable
Gemma 3 27B: 25.9 (#265), INTELLECT-1: —
| Benchmark | Gemma 3 27B | INTELLECT-1 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 22.5% | — |
| LiveBench Math | 55.4% | — |
| LMArena Math | 1312 | — |
| MATH Level 5 | 74% | — |
| GSM8K | — | 38.6% |
Knowledge Not comparable
Gemma 3 27B: 25.5 (#261), INTELLECT-1: —
| Benchmark | Gemma 3 27B | INTELLECT-1 |
|---|---|---|
| GPQA Diamond | 47.7% | — |
| Confabulations | 40.3% | — |
| Vectara Hallucination Rate | 7.4% | — |
| LMArena Expert | 1304 | — |
| ARC (AI2) Challenge | — | 54.5% |
| MMLU | — | 49.9% |
Multimodal Not comparable
Gemma 3 27B: 32.6 (#100), INTELLECT-1: —
| Benchmark | Gemma 3 27B | INTELLECT-1 |
|---|---|---|
| LMArena Vision | 1164 | — |
| GeoBench | 52% | — |
Multilingual Not comparable
Gemma 3 27B: 46.9 (#155), INTELLECT-1: —
| Benchmark | Gemma 3 27B | INTELLECT-1 |
|---|---|---|
| LMArena Non-English | 1334 | — |
| LMArena Chinese | 1346 | — |
| LMArena French | 1368 | — |
| LMArena German | 1362 | — |
| LMArena Japanese | 1287 | — |
| LMArena Korean | 1308 | — |
| LMArena Russian | 1349 | — |
| LMArena Spanish | 1349 | — |
Instruction Following Not comparable
Gemma 3 27B: 70.6 (#160), INTELLECT-1: —
| Benchmark | Gemma 3 27B | INTELLECT-1 |
|---|---|---|
| LiveBench Instruction Following | 74.9% | — |
| LMArena Instruction Following | 1321 | — |
Long Context Not comparable
Gemma 3 27B: 27.6 (#293), INTELLECT-1: —
| Benchmark | Gemma 3 27B | INTELLECT-1 |
|---|---|---|
| Fiction.LiveBench | 33.3% | — |
| LMArena Longer Query | 1333 | — |
Writing & Preference Not comparable
Gemma 3 27B: 52.5 (#168), INTELLECT-1: —
| Benchmark | Gemma 3 27B | INTELLECT-1 |
|---|---|---|
| LMArena Text | 1358 | — |
| LMArena Creative Writing | 1346 | — |
| Short-Story Creative Writing | 79.9% | — |
| EQ-Bench Creative Writing | 1266 | — |
| LMArena Multi-Turn | 1345 | — |
| LiveBench Language | 34.6% | — |
Frequently asked questions
Is Gemma 3 27B better than INTELLECT-1?
Gemma 3 27B has enough public results to be ranked (#284); INTELLECT-1 does not yet, so treat this comparison as directional.
How many benchmarks do Gemma 3 27B and INTELLECT-1 share?
1 benchmark has published results for both models. Gemma 3 27B has 43 scored results on Noometry and INTELLECT-1 has 7.